Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation

	Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation
	Zhou, D. B.; D. J. Wang; L. J. Huo and P. Jia
	2016
发表期刊	Journal of the Optical Society of Korea
卷号	20 期号:6
摘要	Hyperspectral images are often contaminated with stripe noise, which severely degrades the imaging quality and the precision of the subsequent processing. In this paper, a variational model is proposed by employing spectral-spatial adaptive unidirectional variation and a sparse representation. Unlike traditional methods, we exploit the spectral correction and remove stripes in different bands and different regions adaptively, instead of selecting parameters band by band. The regularization strength adapts to the spectrally varying stripe intensities and the spatially varying texture information. Spectral correlation is exploited via dictionary learning in the sparse representation framework to prevent spectral distortion. Moreover, the minimization problem, which contains two unsmooth and inseparable l(1)-norm terms, is optimized by the split Bregman approach. Experimental results, on datasets from several imaging systems, demonstrate that the proposed method can remove stripe noise effectively and adaptively, as well as preserve original detail information.
文章类型	期刊
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/57488
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Zhou, D. B.,D. J. Wang,L. J. Huo and P. Jia. Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation[J]. Journal of the Optical Society of Korea,2016,20(6).
APA	Zhou, D. B.,D. J. Wang,&L. J. Huo and P. Jia.(2016).Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation.Journal of the Optical Society of Korea,20(6).
MLA	Zhou, D. B.,et al."Destripe Hyperspectral Images with Spectral-spatial Adaptive Unidirectional Variation and Sparse Representation".Journal of the Optical Society of Korea 20.6(2016).

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